Iterative reconstruction, Artificial intelligence, Computer vision, Imaging phantom and Algorithm are his primary areas of study. Jianhua Ma interconnects Image processing, Markov random field, Energy, Tomography and Noise reduction in the investigation of issues within Iterative reconstruction. His Artificial intelligence research integrates issues from Streak and Computed tomography.
His study explores the link between Computer vision and topics such as Regularization that cross with problems in Object. His study looks at the relationship between Imaging phantom and fields such as Object detection, as well as how they intersect with chemical problems. His research in Algorithm tackles topics such as Sparse matrix which are related to areas like Voxel.
Jianhua Ma mainly investigates Artificial intelligence, Iterative reconstruction, Computer vision, Algorithm and Imaging phantom. Jianhua Ma regularly ties together related areas like Pattern recognition in his Artificial intelligence studies. A large part of his Pattern recognition studies is devoted to Convolutional neural network.
His biological study spans a wide range of topics, including Image quality, Regularization, Projection, Tomography and Computed tomography. The concepts of his Computer vision study are interwoven with issues in Streak and Medical imaging. His research on Imaging phantom concerns the broader Nuclear medicine.
His primary scientific interests are in Artificial intelligence, Iterative reconstruction, Pattern recognition, Deep learning and Algorithm. His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Computer vision, with regards to Ct imaging. His Iterative reconstruction research incorporates elements of Image quality, Radon transform, Projection, Imaging phantom and Computed tomography.
His Pattern recognition research includes elements of Low dose ct, Field, Radiomics, Image restoration and Receiver operating characteristic. His studies deal with areas such as Supervised learning and Enhanced Data Rates for GSM Evolution as well as Deep learning. Jianhua Ma has researched Algorithm in several fields, including Energy, Noise reduction and Filter.
Jianhua Ma mainly focuses on Artificial intelligence, Iterative reconstruction, Computed tomography, Algorithm and Pattern recognition. His work carried out in the field of Artificial intelligence brings together such families of science as Recall and Memorization. His research on Iterative reconstruction also deals with topics like
His Computed tomography research is multidisciplinary, incorporating elements of Smoothing, Regularization, Streak and Cerebral perfusion pressure. His Algorithm research incorporates themes from Tomography, Noise reduction and Energy. Jianhua Ma has included themes like Radiomics, Robustness and Receiver operating characteristic in his Pattern recognition study.
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Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction.
Yan Liu;Jianhua Ma;Jianhua Ma;Yi Fan;Zhengrong Liang.
Physics in Medicine and Biology (2012)
Low-dose computed tomography image restoration using previous normal-dose scan.
Jianhua Ma;Jing Huang;Qianjin Feng;Hua Zhang.
Medical Physics (2011)
Sparse-view x-ray CT reconstruction via total generalized variation regularization.
Shanzhou Niu;Yang Gao;Zhaoying Bian;Jing Huang.
Physics in Medicine and Biology (2014)
Computational investigation of half-Heusler compounds for spintronics applications
Jianhua Ma;Vinay I. Hegde;Kamaram Munira;Yunkun Xie.
Physical Review B (2017)
Towards a smart world and ubiquitous intelligence: A walkthrough from smart things to smart hyperspaces and UbicKids
Jianhua Ma;Laurence Tianruo Yang;Bernady O. Apduhan;Runhe Huang.
International Journal of Pervasive Computing and Communications (2005)
Socially Aware Networking: A Survey
Feng Xia;Li Liu;Jie Li;Jianhua Ma.
IEEE Systems Journal (2015)
Research challenges and perspectives on Wisdom Web of Things (W2T)
Ning Zhong;Jian Hua Ma;Run He Huang;Ji Ming Liu.
The Journal of Supercomputing (2013)
Variance analysis of x-ray CT sinograms in the presence of electronic noise background.
Jianhua Ma;Zhengrong Liang;Yi Fan;Yan Liu.
Medical Physics (2012)
Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior
Jianhua Ma;Hua Zhang;Yang Gao;Jing Huang.
Physics in Medicine and Biology (2012)
Nonlocal Prior Bayesian Tomographic Reconstruction
Yang Chen;Jianhua Ma;Qianjin Feng;Limin Luo.
Journal of Mathematical Imaging and Vision (2008)
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